Search results

The UN Global Compact promotes values of precautionary approach to environmental changes and business sustainability, which are eagerly embraced by MNCs; however the recognized emerging country risks pose a challenge for continuous commitment to those principles in the subsidiaries. Especially political and currency risks are considered significant in the subsidiaries located in the emerging markets. Therefore, those risks are often shifted to the local partners as the pursued core principle of the risk management strategies. The objective of MNCs is in fact to limit MNCs responsibility for the liabilities and losses in the emerging markets in case of market downturns, and in effect the advocated risk management practices exacerbate the severity of the emerging market crises.

The chapter explores those corporate practices on the examples of numerous major international market players in case of several historical, but recent examples of the emerging market currency crises.

The concerns addressed in the chapter include: the preference for local financing exposing at risk local banking sectors in the emerging markets, excessive liquidity and minimal capital commitments and investments leading to weaker currency fluctuations and resulting in private capital speculations and capital flight (to safety or to quality). The intensified global competition for international investments in form of FDIs resulted in the erosion of the capital requirements, reduced social and business infrastructure commitments requested, limited currency controls, and other components of the regulatory framework easing in the emerging markets. Other identified in the research key components of the risk management strategies applied by MNCs, destabilizing the emerging markets in financial (both fiscal and currency) crises include: intercompany payments and financing such as: transfer pricing, local sourcing and reimbursements for both tangible and intangible assets transfer.

Demonstrated approach of MNCs appears ethically questionable and reflects the disparity of the bargaining powers. It also undermines the intentions of the Ten Principles of the UN Global Compact. The corporate citizenship is found difficult to dominate over the conflicting self-centered interests of MNCs operating in the emerging markets, especially in times of crises. The consideration of the non-compulsory ethically based initiative, as the alternative to the failing effectiveness of the international market regulations, requires restoration of the public and an individual value of the reputation (image, name) built on social responsibility and accountability, unfortunately so much diluted over the last two decades.

The chapter examines the effect of MNCs risk management of their foreign operations on the crises in the emerging markets with focus on inward FDIs flows and inward FDIs stock fluctuations and debt financing. The results evidence the repetitive nature of the self-interest driven corporate behavior.

Emerging markets are said to have sustained relatively well in the recent global crisis. There are several factors that help explain this popular view, such as, for example, perceived separation from key international financial centres. Still a lot is to be digested in the crisis aftermath with immediate implications for financial markets and real economy. This chapter offers a unique insight into dynamics within transition economies via an extended blended fiscal–monetary policy rules model with possibility of foreign reserves targeting and foreign currency-denominated debt dynamics. Calibration is based on actual data and is done under various targets and financial risk conditions. Prudent monetary policy and fiscal policy initiatives within current context drive the choice of targets. That may help dampen negative impacts of the crisis and thwart potential currency run. This chapter advances three possible post-crisis scenarios, each with unique solution for reserves, exchange rate, sustainable debt and output levels. Categorizing between net exporters and net importers based on countries' external positions, group-specific results are derived. While both groups are susceptible to exchange-rate risk affected by a multitude of shocks due to their fragile financial system, net importers risk high inflation, but net exporters over-borrowing. This chapter contributes to the literature on global financial crisis, macroeconomic policy, and role of nominal targets and foreign reserves in emerging markets.

This chapter investigates the determinants of the volatility of spread in the over-the-counter foreign exchange market and examines whether the relationships differ in the crisis periods. We compute the measures for the volatility of liquidity by using bid-ask spread data sampled at a high frequency of five minutes. By examining 11 currencies over a 13-year sample period, we utilize a balanced dynamic panel regression to investigate whether the risk associated with the currencies quoted or trading activity affects the variability of liquidity provision in the FX market and examine whether the crisis periods have any effect. We find that both the level of spread and volatility of spread increases during the crisis periods for the currencies of emerging countries. In addition, we find increases in risks associated with the currencies proxied by realized volatility during the crisis periods. We also show risks associated with the currency are the major determinants of the variability of liquidity and that these relationships strengthen during periods of uncertainty. First, we develop measures to capture the variability of liquidity. Our measures to capture the variability of liquidity are non-parametric and model-free variable. Second, we contribute to the debate of whether variability of liquidity is adverse to market participants by examining what drives the variability of liquidity. Finally, we analyze seven crisis periods, allowing us to document the effect of the crises on determinants of variability of liquidity over time.

This chapter identifies three crisis warning indicators driven from trading in emerging markets’ carry trades, and empirically examines whether these indicators could predict two major financial crises that hit the global financial markets in the last decades — The 1997–1998 Asian crisis and the 2007–2008 global crisis. The probit regression is used to examine the power of the three indicators in forecasting financial crises, using data from eight Asian emerging countries which serve as proxies for emerging markets, independent of the origination of the crisis. I use both fixed effect and random effect estimation to measure crisis impacts. The empirical results show that financial crises could have been predicted. Probit estimation show that carry trade returns can predict a financial crisis, and the estimation results are robust to both panel level and country-level analysis. These three indicators are by no means an exhaustive list of all possible predictors of financial crisis. The literature suggests other fundamental indicators of financial crises such as the current account deficit and foreign debt. However, this chapter cannot fully consider these indicators for lack of data at this point in time. Although financial crisis may be better predicted by the well-known fundamental indicators, the contribution of this chapter is simply that carry trade-related indicators can help in predicting crises.

The purpose of this paper is to identify the indicators of currency crises in Egypt. Using the annual data over the period 1977–2017, the paper attempts to establish which economic variable(s) are more useful in predicting currency crises and to improve the predictability of such crises.

Probit analysis is employed to identify the indicators that are most effective in predicting the probability that a currency crisis episode will occur. This is enabled through the estimation of a market turbulence index (MTI) which measures currency crises in terms of eight “threshold” points at which a crisis is detected or not detected.

The estimates of the probit model suggest that five variables: the domestic interest rate spread; domestic current account; USA interest rate; real exchange rate; and the real interest rate have the strongest predictive power among the 16 indicators identified in the empirical literature.

There are a number of limitations associated with this paper. First the data are annual and not monthly which limits the ability of the estimated model to accurately predict the crisis episodes. There is limited open access to monthly data on the Central Bank of Egypt website especially for the period before the 2000s. Were such data available this would allow for much more robust in-sample and out of sample forecasts.

The analysis and results in the paper suggest that the modelling strategy employed represents a potentially useful tool for Central Banks and policy makers in forecasting currency crises.

There are several such implications but mainly in relation to the possibility of avoiding high social costs resulting from a currency crisis that may have been avoided if forecast correctly.

The paper builds on previous theoretical and empirical work in this field while adding to the literature in terms of the problems in previous literature and modelling approaches. It also strongly advocates the use of the MTI instead of other indices to identify such crises.

The paper provides new evidence for Bitcoin’s safe-haven property by examining the relationship between currency price, return and Bitcoin trading volume.

A unique dataset from a person-to-person (p2p) exchange is used to investigate association between Bitcoin trading volume and currency prices. Currency returns are used to identify local economic crises, the 8 crisis affected currencies are Venezuela Bolivar (VES), Iranian Rial (IRR), Ukrainian Hryvnia (UAH), Argentine Peso (ARS), Egyptian Pound (EGP), Nigerian Naira (NGN), Turkish Lira (TRY) and Kazakhstani Tenge (KZT).

The paper demonstrates that local economic crises are positively associated with increased Bitcoin trading. There is a negative association between trading volume and currency value (and return), suggesting low currency price and currency depreciation are accompanied with increased Bitcoin trading. The results not only hold for the crisis affected currencies but also currencies of advanced economies. Granger causality test also reinforces the negative association results.

The finding indicates some forms of flight-to-safety have occurred during local market crises when capital flight from domestic markets to Bitcoin, strengthening Bitcoin’s hedging asset status. However, total global trading volume declines after the start of the COVID pandemic, suggesting that Bitcoin is still regarded as a speculative asset. Overall, the findings show that Bitcoin is a hedging asset to protect against local currency depreciation, but not a safe-haven asset for the global crisis.

This study aims to investigate the influence of systemic banking crises, currency crises and global financial crisis on the relationship between export and economic growth in China by using the annual time series data from the period of 1972 to 2014.

The Johansen and Jeuuselius’ cointegration, auto regressive distributed lag bound testing cointegration, Gregory and Hansen’s cointegration and pooled ordinary least square techniques with error correction model have been used.

Results indicate the positive and significant effect of export of goods and services on economic growth in both long and short run, whereas the negative influence of systemic banking crises and currency crises over economic growth is observed. It is also concluded that the impact of export of goods and service on economic growth becomes insignificant in the presence of systemic banking crises and currency crises. The currency crises effect the influence of export on economic growth to a higher extent compared to systemic banking crises. Surprisingly, the export in the period of global financial crises has a positive and significant influence over economic growth in China, which conclude that the global financial crises did not drastically affect the export-growth nexus.

This paper makes a unique contribution to the literature with reference to China, being a pioneering attempt to investigate the effects of systemic banking crises and currency crises on the relationship of export and economic growth by using long-time series data and applying more rigorous econometric techniques.

The purpose of this paper is to analyze the “following” behavior of six currencies in East Asia to RMB before and after the “financial crisis”.

Using foreign exchange spot rate data from 2005 to 2013, the authors investigate the dynamic relationship of RMB and six East Asia currencies with method of DCC-GARCH and quantile regression.

The authors get such conclusions: first, most currencies indeed “follow” RMB in whole sample period but the correlation is “time-varying”; second, the degree of co-movement increased as a whole, which reflects that the influence of China in East Asia rose continuously; third, the East Asian currencies behaved differently before the crisis, but reveal some similarities after the crisis, and prefer to “follow” when RMB depreciates and reluctant to follow when RMB appreciates at a comparatively large degree. The authors argue that it may be related to the different macroeconomic environment faced by East Asia region before and after the crisis, the rising economic influence of China and the development of RMB internationalization’s practice.

The effort could strength the understanding to the “following” behavior of East Asia currencies to RMB, the authors also point out that RMB has been as regional currency anchor, but the role of anchor is unstable, and is affected by international economic circumstance, China should adapt some methods to strength RMB’s influence to East Asia currency.

The purpose of this study is to discover the motivating factors for cryptocurrency investment during an economic crisis in the MENA region, with reference to the economic crisis of 2019–2022, in Lebanon.

The authors used t-test, and logistic regressions on a sample of 254 Lebanese investors to differentiate between cryptocurrency investors, and non-investors. Linear regressions of a subsample of cryptocurrency investors determined the factors that explained increasing cash investment in cryptocurrencies. Data were collected from investors in Lebanon, which could limit the generalization of the research results across the MENA region.

Investors differed from non-investors in that they were male, owned investments in the stock, bond and commodity markets, had prior investment experience in cryptocurrencies, were risk-takers and had expectations of high returns. Investors increased the dollar investment in cryptocurrencies, if they were male, as they invested more funds in securities, had previously invested in cryptocurrencies and had stronger risk-taking propensity. Expectations of high returns drove investors to cryptocurrencies, but such expectations do not stimulate further cryptocurrency investment.

This study is an initial attempt to comprehend the reactions of investors in the MENA region to a currency crisis that triggered investment in cryptocurrencies following the collapse of fiat currencies, central bank default and restrictions on bank withdrawals.